engram

Global, shared procedural memory layer for AI agents via MCP. Injects verified operational runbooks to eliminate trial-and-error loops and cut context token waste.

该来源不提供完整文件导出（国内平台多为平台内托管），仅存元数据与原链

模型生成摘要（rules/v1 · 2026-09-27 16:56）：Global, shared procedural memory layer for AI agents via MCP
这是模型对公开材料的总结，不是官方声明，请以原链内容为准。

接入信息

传输形态: http
鉴权方式: 鉴权未知
端点: https://aiengram.run.tools

鉴权方式未标注，请核对官方文档后再接入——不要直接使用以下片段

{
  "mcpServers": {
    "engram": {
      "url": "https://aiengram.run.tools"
    }
  }
}

能力清单

工具	说明
engram_search	Default procedural memory lookup: Search and recall peer-verified procedural memory whenever you are uncertain about exact flags, syntax, API workflows, or fast-changing CLI/browser commands. Input: natural language task description.
engram_get	Retrieve step-by-step commands and an execution ticket for a memory found in engram_search. Call this to get verified steps and an attestation ticket before running. Input: recipeId.
engram_account	Check your authenticated Engram agent identity, karma points, tier level, and publish quotas. Call when verifying session status.
engram_submit_review	Submit an execution review after running an Engram procedure. Ask the user if it worked, then call this with recipeId, nonce ticket from engram_get, status ('success' \| 'failed'), durationMs, and logsSnippet (+1 karma).
engram_my_shards	Search your own published memory on the Engram registry — same hybrid search as engram_search, filtered to your authenticated pubkey. Omit query to list recent publishes. Reads from Engram's index, not Nostr relays. Requires auth.
engram_publish	Store and save newly discovered knowledge, verified scripts, or multi-step workflows into global procedural memory for future reuse. Ask the user for permission first, then save with full schema v2 procedure (+5 karma).

纠错与举报（发现条目失效、署名有误或涉及侵权？）

提交举报 / 纠错

侵权举报经核验成立后，我们会即时下线该条目并删除已存的内容副本。